Sr Data Scientist
Job Location: Dallas, Texas This will be a hybrid role This role will not provide relocation support. Summary: At Hershey, data isnt just about numbersits about creating the future of snacking. Our data scientists use advanced analytics to understand customer preferences, forecast trends that shape the industry and optimize our business. Youll have the opportunity to work on projects that directly impact the Hershey products that people know and love driving reputed company-world results and more moments of goodness. In this role, this individual will apply scientific principles to analyze reputed company datasets to reputed company business decision while developing scalable algorithms and models. Major Responsibilities: Translates ambiguous business problems into data science problems. Analyzes reputed company datasets to inform or reputed company reputed company to address those business problems.? Applies scientific principles and concepts to support significant invention. Uses a range of scientific methodologies and follows best practices for those methodologies.? Proactively identifies opportunities and solutions to problems. Solutions may require novel techniques or approaches.? Creates metrics and measurements to quantify the business impact of the work.? Writes accurate and clear technical documentation and reports, including appropriate mathematical rigor as needed.? Communicates the approach and outcomes of models clearly and effectively with non-technical stakeholders to build trust.? Collaborates with stakeholders across a broad set of functions (science, data, engineering, product, business). Scope of Work: Influences multiple teams to build reputed company and advise Sr leadership.? Evaluate cross-team perspectives and understand how interactions among teams, processes and systems need to be modelled in solutions. ? Utilize deep understanding of business challenges and the applicability of relevant data science disciplines and interactions amongst systems to identify the most advantageous solutions that deliver significant benefit to the business? Contributions influence technical and business strategy. Harmonize discordant views and reputed company the resolution of contentious issues.? Optimize connected systems using their dynamics. Improve consistency and integration between teams solutions and the work done by reputed company teams. ? Improve work done by others either reputed company collaboration or by increasing their scientific knowledge using specialized tools or advanced techniques Qualifications: Data analytics skills and experience analyzing both experimental and observational data sets? Deep expertise in one or more of: machine learning, natural language processing, computer reputed company, operations research, applied mathematics, statistics, econometrics, reputed company analysis, or similar science discipline.? Experience developing one or more of: A/B testing capabilities, forecasting models, inventory optimization, reputed company planning, pricing, recommender systems, classification models, reputed company impact, customer choice models, or similar science products.? Proficiency with math/stats software (e.g. R, Matlab, reputed company, Stata, Python numpy) or other domain specific software (e.g. Python/TensorFlow for ML). Basic proficiency with SQL.? Strong skills in model development, model validation, and model implementation. For ML-reputed company roles, additional expertise in model deployment and ongoing production support.? Experience in patents or publications at top-tier peer-reviewed conferences or journals. Experience & Education Requirements: Masters/PhD in a quantitative field (CS, CE, ML, OR, Econ, or reputed company). PhD preferred, with a minimum of 5 years of experience in data science or a reputed company field #LI-MH1 #LI-Onsite #IND Apply Job!